🦠Can AI Help Create Better Vaccines?

+ AI enables paralyzed patients regain control, Build mobile apps from your iPhone in minutes, and Microsoft’s AI Copilot moves into your TV

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From the lab to the living room, AI’s reach is growing wider every week.

MIT researchers published a study on VaxSeer, an AI vaccine model that, in retrospective tests, outperformed the World Health Organization’s flu strain selections over the past decade. Meanwhile, UCLA researchers unveiled a non-invasive AI-powered brain interface that helped a paralyzed patient control a robot arm with just his thoughts.

On the consumer side, Rork iOS app is letting people build mobile apps straight from their iPhone in minutes — no code required. And even your TV isn’t safe from the AI wave: Microsoft’s Copilot assistant is now built into Samsung’s 2025 screens, bringing conversational AI into the living room.

Let’s dive into it.

“Machines will not replace physicians. But physicians using AI will soon replace those not using it.”

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VaxSeer

MIT’s AI for Flu Vaccines

Source: MIT News

MIT researchers unveiled VaxSeer, an AI system trained on decades of flu data that predicts which strains will dominate and how effective vaccines will be — aiming to fix the global problem of mismatched flu vaccines.

⚡ VaxSeer at a Glance

  • Who decides flu shots now? The World Health Organization (WHO) picks strains twice a year, months before flu season. If they guess wrong, vaccine effectiveness can drop below 40%, leaving millions exposed.

  • The problem: Flu mutates unpredictably, and current methods often miss the mark.

  • VaxSeer’s edge:

    • Beat the World Health Organization’s flu strain picks in 9 of the past 10 years for the tough H3N2 subtype.

    • Matched or outperformed WHO for the H1N1 “swine flu” subtype in most years.

    • Even spotted the strain that caused the 2016 flu season a year early, before WHO did.

  • How it works:

    • Learns from decades of flu genetic sequences and lab data

    • Predicts which strains will dominate

    • Simulates how well vaccines block those strains

    • Produces a “coverage score” to guide strain selection

🔎 The Reality Check

  • Retrospective only: So far, results are based on past seasons — hasn’t guided real-world vaccine decisions yet

  • Focus: Currently only models the HA protein (main flu antigen); doesn’t include NA protein, immune history, or dose/manufacturing factors

  • Data needs: Requires large, high-quality datasets; broader use for other viruses limited by available data

  • Process barrier: WHO decisions are made by global expert panels; adoption of AI models will take time and consensus

WHO vaccine strain choices are often wrong, leaving seasonal vaccines under 40% effective. VaxSeer’s AI out-forecasted WHO in most years, showing how machine learning can turn flu shots from a guessing game into a data-driven science. If proven in practice, this could save millions of infections — and the same approach could help anticipate antibiotic resistance or cancer evolution.

📖 Read the full peer-reviewed paper hereNature Medicine

AI in Medicine

AI Helps Paralyzed Patients Control a Robot Arm

What if you could move a robot arm or computer cursor with nothing but your thoughts? No implants, no surgery. Just a wearable EEG cap and an AI “co-pilot” that knows what you’re trying to do. That’s exactly what UCLA researchers pulled off. In peer-reviewed tests, a paralyzed patient who couldn’t complete a robotic task alone succeeded when AI stepped in, turning brain signals into action.

⚙️ How It Works

  • Signal in: A 64-channel EEG cap records brain activity. A convolutional neural net + Kalman filter decode intended motion.

  • AI co-pilot: A vision model interprets the scene, guesses the likely target, and guides movement toward it.

  • Shared autonomy: You provide intent, the AI smooths and finalizes the action — a true human-AI partnership.

📊 Key Results

  • Participants: 4 total (3 able-bodied, 1 with paralysis).

  • Cursor control: ~3.9× improvement in hitting on-screen targets.

  • Robotic arm: The participant with paralysis couldn’t complete the task alone — but succeeded in ~6.5 minutes with the AI co-pilot.

  • Publication: Nature Machine Intelligence, Sept 2025 — with open code + data.

💡 Why it matters: Implanted BCIs like Neuralink grab headlines, but they require risky brain surgery. UCLA’s approach shows a safer, cheaper, non-invasive path that closes the performance gap. Think assistive robotics, smart wheelchairs, or daily computer access for people with severe motor impairments — all made more practical by blending human intent with AI foresight.

ALPHA DROP

(Where we spotlight one powerful tool or feature to help you stay ahead.)

Create Mobile Apps With Just Your iPhone

What if you could go from idea → iOS app in minutes? With Rork’s new iOS app, you just describe what you want, and the AI builds it. No coding, no laptop, just your phone.

Rork has already shot to #2 in the App Store’s Dev Tools category, with users spinning up 500,000+ projects and publishing 2,000+ apps — some earning revenue, others breaking into charts. It’s free for the next two weeks.

⚡ What It Can Do

  • Build apps instantly from a simple text description

  • Generate full code + UI using React Native + Expo

  • Preview on your iPhone within minutes

  • Refine via chat to adjust features, design, and branding

  • Publish/export to the App Store or GitHub when ready

  • Traction so far: 500k+ projects created, 2k+ apps shipped live, #2 in US App Store Dev Tools

🔧 How to Use It

  1. Type your idea (ex: “budget tracker with charts and reminders”).

  2. Let Rork generate the working app.

  3. Preview instantly on your phone.

  4. Chat to tweak design or features.

  5. Publish to the App Store or export the code.

Rork lowers the barrier to app creation by turning ideas into working software in minutes, opening the door for students, entrepreneurs, and side-hustlers to build without coding skills. Early users are already applying it to hospital workflows, small business tools, and consumer apps, showing it can deliver real value beyond prototypes. But challenges remain: advanced features often need developer support, Apple’s approval process still applies, and stability issues have been reported on bigger builds.

AI in Smart TVs

Microsoft’s Copilot comes to Samsung screens

Source: Microsoft

Microsoft’s Copilot AI is moving into Samsung’s 2025 TVs and monitors, turning the biggest screen in your house into an interactive assistant. Built directly into Tizen OS, Copilot can be summoned by voice or remote, with a friendly on-screen avatar that suggests shows, delivers spoiler-free recaps, helps with language learning, or answers general questions. It even personalizes responses when you’re signed in with your Microsoft account.

For Samsung, it’s about making TVs more than entertainment boxes — transforming them into household hubs. Copilot adds instant voice search, smarter recommendations, and conversational help to everyday use, from weekend planning to group viewing. By putting AI in front of the whole family, Microsoft and Samsung are betting that assistants won’t just live on laptops and phones — they’ll become part of living-room life.

🔥 Must-Read Free AI Resources

Want to level up fast? Here are some of the best free resources we've found:

Guides:

  • Build AI Agents (OpenAI Practical Guide)
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    Access expert-led courses on AI, deep learning, and accelerated computing. Explore the platform →

⚡ Quick Reads

AI & TECH JOBS

🚀 AI Jobs Worth Jumping On

Principal Worldwide Generative AI Strategist – AWS (Amazon)
Shape global adoption of autonomous AI agents. Lead partner programs that define how businesses integrate agentic AI at scale.

AI Engineer, Foundation Models — Tesla (Autonomy & Robotics)
Build and train language and perception models that power Tesla’s robot “Optimus” and autonomy systems.

Applied AI/ML Researcher – MIT Lincoln Laboratory
Design and deploy edge-ready AI/ML systems to enhance cyber security and mission-critical decision-making.

Principal, AWS Global AI Public Policy – AWS (Amazon)
Lead global AI policy strategy across multilayered institutions and events, and shape international governance efforts around AI/ML.

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Explore Our AI Tools Directory

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We’re not here to hype AI — we’re here to help you actually use it, understand it, and learn as it evolves. Whether you’re testing a new tool, trying to automate something tedious, or just trying to keep up with what’s happening, we hope this newsletter gave you something genuinely worth your scroll.

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— AI Innovations Hub